Abstract: A battery management method and system are provided. The method includes acquiring one or more parameters associated with the battery. The one or more parameters includes a current level, a voltage level, a State of Charge (SOC), and a temperature. The method includes determining a load and energy estimation model based on the one or more acquired parameters. The method includes identifying a power limit of the battery based on the load and energy estimation model. The method includes determining a power margin of the battery at a first usage time interval based on the identified power limit. The method includes performing one or more actions, based on a determination that the power margin of the battery exceeds a predefined threshold level.

Abstract: The present disclosure provides a method and a system for improving the state of health (SoH) of rechargeable batteries. The method comprises receiving a plurality of battery parameters during charging of a battery and estimating model parameters of the battery using a mathematical model. The method also comprises comparing the estimated model parameters of the battery and the received battery parameters to determine degradation parameters of the battery in real-time, determining new charging current profile of the battery based on the degradation parameters of the battery, and applying the determined new charging current profile to the battery for improving the SoH of the battery.

Abstract: A battery management system (BMS) and method for determining an active material content in an electrode includes determining a first peak in an inverse-differential capacity analysis curve of a the battery, determining a second peak in an incremental capacity analysis (ICA) curve associated with the at least one electrode, mapping the first peak of the inverse-differential capacity analysis curve to the second peak of the ICA curve, determining an active material content in the at least one electrode of the battery based on the mapping, and optimizing a performance of the battery based on the active material content in the at least one electrode.

Abstract: Provided are a battery state measuring method and battery management system, which predict a time point when charging capacity of a battery is to be relatively abruptly reduced. The battery state measuring method includes: monitoring a change of at least one precursor related to the charging capacity of the battery with respect to a number of charging cycles undergone by the battery; and predicting that an abrupt reduction in the charging capacity of the battery is imminent when the change of the at least one precursor follows at least one pre-configured pattern of the battery that has undergone a critical number of charging cycles.

Abstract: Disclosed are methods and apparatuses for charging a hybrid battery pack, the method including determining, by a battery management system (BMS), a current split ratio for allocating charging current to an energy cell and a power cell in a hybrid battery pack, based on any one or any combination of a state of charge (SoC) level of the energy cell at an instance of initiation of charging, a SoC level of the power cell at the instance of the initiation of the charging, a wattage of an adapter for charging the hybrid battery pack, a capacity of the hybrid battery pack, and a charging time period, and charging, by the BMS, the hybrid battery pack by allocating the charging current to the energy cell and the power cell based on the current split ratio.

Abstract: A battery management method and system are provided. The method includes acquiring one or more parameters associated with the battery. The one or more parameters includes a current level, a voltage level, a State of Charge (SOC), and a temperature. The method includes determining a load and energy estimation model based on the one or more acquired parameters. The method includes identifying a power limit of the battery based on the load and energy estimation model. The method includes determining a power margin of the battery at a first usage time interval based on the identified power limit. The method includes performing one or more actions, based on a determination that the power margin of the battery exceeds a predefined threshold level.

Abstract: A method for estimating a plurality of parameters pertaining to an electrochemical model of a cell may include: obtaining, by a device, an Electrochemical Impedance Spectroscopy (EIS) spectrum and a Constant Current-Constant Voltage (CC-CV) charge-Constant Current (CC) discharge response of the cell; extracting, by the device, a plurality of features from the EIS spectrum and a plurality of features from the CC-CV charge-CC discharge response of the cell; and estimating, by the device, the plurality of parameters based on at least one of the plurality of features of the EIS spectrum and at least one of the plurality of features of the CC-CV charge-CC discharge response of the cell.

Abstract: A battery management system (BMS) and method for determining an active material content in an electrode includes determining a first peak in an inverse-differential capacity analysis curve of a the battery, determining a second peak in an incremental capacity analysis (ICA) curve associated with the at least one electrode, mapping the first peak of the inverse-differential capacity analysis curve to the second peak of the ICA curve, determining an active material content in the at least one electrode of the battery based on the mapping, and optimizing a performance of the battery based on the active material content in the at least one electrode.

Abstract: A method of estimating a maximum specific capacity of a composite electrode includes generating open circuit potential (OCP) crossover characteristics of the composite electrode comprising silicon and natural graphite, determining a composite electrode lithiation limit of the composite electrode based on a silicon lithiation limit of the silicon, predicting a composite electrode composition of the composite electrode based on the composite electrode lithiation limit, and estimating the maximum specific capacity of the composite electrode based on the composite electrode composition.

Abstract: Disclosed is an electronic device including a battery, a charging circuit configured to charge the battery, a measurement circuit configured to measure a state of the battery, and a processor configured to be electrically connected with the battery, the charging circuit, and the measurement circuit, to charge the battery using the charging circuit set by a first charging parameter, determine state information corresponding to a state of the battery based on data associated with the state of the battery obtained using the measurement circuit, determine a second charging parameter for reducing loss of a capacity of the battery based on the state information, and charge the battery using the charging circuit set by the second charging parameter.

Abstract: The present disclosure provides a method and a system for improving the state of health (SoH) of rechargeable batteries. The method comprises receiving a plurality of battery parameters during charging of a battery and estimating model parameters of the battery using a mathematical model. The method also comprises comparing the estimated model parameters of the battery and the received battery parameters to determine degradation parameters of the battery in real-time, determining new charging current profile of the battery based on the degradation parameters of the battery, and applying the determined new charging current profile to the battery for improving the SoH of the battery.

Abstract: Embodiments herein provide a method for real time adaptive charging of a battery. The method includes receiving at least one battery parameter. Further, the method includes determining a present battery condition. Further, the method includes correcting the at least one battery parameter based on the present battery condition. Further, the method includes determining a real time optimal current used for charging the battery based on the at least one corrected battery parameter. Further, the method includes charging the battery based on the determined real time optimal current, where a battery management system configures a charger integrated circuit to charge the battery. Further, the method includes updating and storing the at least one battery parameter in real time in a memory after charging the battery at the optimal current.

Abstract: Provided are a battery state measuring method and battery management system, which predict a time point when charging capacity of a battery is to be relatively abruptly reduced. The battery state measuring method includes: monitoring a change of at least one precursor related to the charging capacity of the battery with respect to a number of charging cycles undergone by the battery; and predicting that an abrupt reduction in the charging capacity of the battery is imminent when the change of the at least one precursor follows at least one pre-configured pattern of the battery that has undergone a critical number of charging cycles.

Abstract: A processor-implemented battery management method includes iteratively determining fractions of components in an electrode of a battery; calculating a composite state of charge (SoC) of the battery by applying the iteratively determined fractions of the components to a composite cathode model used to predict a state of the battery; and predicting the state of the battery based on the calculated composite SoC.

Abstract: A method of estimating an available power of a battery may include: receiving discharge data associated with the battery and a minimum voltage cut-off of the battery; determining one or more discharge curves based on the discharge data; estimating a model representing the one or more discharge curves; calculating a plurality of parameter values of the model at a plurality of time intervals; and estimating the available power of the battery based on the plurality of parameter values and the minimum voltage cut-off of the battery.

Abstract: A processor-implemented battery management method includes iteratively determining fractions of components in an electrode of a battery; calculating a composite state of charge (SoC) of the battery by applying the iteratively determined fractions of the components to a composite cathode model used to predict a state of the battery; and predicting the state of the battery based on the calculated composite SoC.

Abstract: Disclosed is an electronic device including a battery, a charging circuit configured to charge the battery, a measurement circuit configured to measure a state of the battery, and a processor configured to be electrically connected with the battery, the charging circuit, and the measurement circuit, to charge the battery using the charging circuit set by a first charging parameter, determine state information corresponding to a state of the battery based on data associated with the state of the battery obtained using the measurement circuit, determine a second charging parameter for reducing loss of a capacity of the battery based on the state information, and charge the battery using the charging circuit set by the second charging parameter.